03/12/26

Evaluation of symptom checker formats to support health literacy and trust in AI: results from an online randomised-controlled trial.

Ayre, Julie; Gallagher, Karen; Smith, Jenna; Ingwersen, Kirsten; Hudson, Claire; Scott, Angelica; Woods, Alison; Ng, Christopher; Wickramasinghe, Yuanee; Ma, Ivan CK; Nadesan, Waren; Kapoor, Gauri; Edlund, Geoffrey; Butters, Lorna; Vu, Trang; McCaffery, Kirsten J. medRxiv

Summary

Digital symptom checkers are increasingly used by patients for self-diagnosis and disease management, yet the impact of explicitly disclosing generative AI involvement remains underexplored. This Australian preprint randomized trial of adults given a case of hypothetical symptoms finds that AI assisted advice improved self-management knowledge and lowered stated intention to go to the doctor for a low-acuity illness. Importantly, disclosing AI use did not reduce user trust or acceptability, supporting safe integration of AI-powered tools without undermining patient confidence.
Ayre J, Gallagher K, Smith J, et al. Evaluation of symptom checker formats to support health literacy and trust in AI: results from an online randomised-controlled trial. medRxiv. Epub 2026 Mar 12.